Triple
T3525982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeovil |
E74538
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Crewkerne |
E283620
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Crewkerne | Statement: [Yeovil, near, Crewkerne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crewkerne Context triple: [Yeovil, near, Crewkerne]
-
A.
Crewkerne
chosen
Crewkerne is a historic market town in South West England known for its traditional architecture and rural surroundings.
-
B.
Yeovilton
Yeovilton is a village in Somerset, England, best known for its Royal Naval Air Station and strong association with British naval aviation.
-
C.
Verwood
Verwood is a small town in eastern Dorset, England, known for its rural character and proximity to the New Forest and Cranborne Chase.
-
D.
Blagdon
Blagdon is a rural village in North Somerset, England, known for its proximity to Blagdon Lake and the Mendip Hills.
-
E.
Calne
Calne is a historic market town in Wiltshire, England, known for its former bacon-curing industry and location in the North Wessex Downs area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6a8d0c819094d38b9c47fb67b4 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e8de2648190809369c3f0b7d85d |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.